Is nicotine replacement therapy for smoking cessation effective in the "real world"? Findings from a prospective multinational cohort study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Increasing smoking cessation rates is an important goal in preventing lung cancer and chronic obstructive pulmonary disease. Nicotine replacement therapy (NRT) has been found in clinical trials to improve the chances of success at stopping, but recent cross-sectional survey data have raised doubts as to whether it is effective when used by smokers making quit attempts unsupervised outside clinical trials. Because of biases inherent in cross-sectional surveys, this issue can only be adequately addressed using longitudinal studies. This paper reports the first study of its kind to examine the issue. METHODS: The ATTEMPT cohort is a multinational cohort study with data collection by the internet which recruited smokers of > or = 5 cigarettes per day aged 35-65 years who were intending to stop smoking within the next 3 months. Phase 1 began in spring 2003 and involved 2009 smokers from the USA, UK, Canada and France. Phase 2 involved 3645 smokers and included the same countries plus Spain. Follow-up assessments were carried out every 3 months. 492 smokers who made a quit attempt without formal behavioural support or bupropion in the first 3-month follow-up period were identified from phase 1, 357 of whom were followed up for a further 6 months. The phase 2 sample involved 906 smokers making quit attempts, 732 of whom were followed up. At baseline, demographic characteristics, smoking history and nicotine dependence were assessed. Smokers who made quit attempts were questioned on methods used to aid them. The main outcome measure was self-report of complete abstinence throughout both the 3-month periods following the quit date. RESULTS: 35.6% of smokers followed up in phase 1 and 29.6% of those followed up in phase 2 used NRT. The odds ratios comparing abstinence for 6 months in those using and those not using NRT, adjusting for nicotine dependence, were 3.0 (95% CI 1.2 to 7.5) for the phase 1 sample and 2.1 (95% CI 1.0 to 4.1) for the phase 2 sample. The difference in success rates between those using NRT and those not using it, adjusted for the Fagerstrom test for nicotine dependence (FTND) score, was 6% in the phase 1 sample and 3.7% in the phase 2 sample. The improved odds of success were not explicable in terms of motivation to use some form of aid to cessation or differential loss to follow-up. CONCLUSION: NRT use by smokers making self-initiated quit attempts without formal behavioural support is associated with improved long-term abstinence rates.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it